摘要
根据商场的冷负荷平衡公式,求得商场的平均客流量;利用数据拟合、插值等算法对商场的逐时客流量进行了优化,并建立了以人流量和外部环境温度为变量的商场冷负荷模型;采用模糊控制策略建立了保持商场内部温度稳定的数学模型,可以实现对中央空调系统供冷量的逐时控制;运用微积分原理建立了基准冷负荷的数学模型,为直接基于基准能耗的控制策略提供了可行性依据.
Based on the cooling load balance formula, the average passenger flow in the department store is calculated. Data fitting algorithm and interpolation algorithm are used to optimize the hourly passenger flow in the department store, moreover, the department store cooling load model using passenger flow and external environment temperature as variables is developed. Fuzzy control strategy is adopted to establish the temperature stabilization model in the department store, then cooling capacity hourly control of the central air-conditioning system can be realized. Reference cooling load model is established using the principle of calculus, and this model can provide effective and feasible reference for the control strategy based on energy consumption standards.
出处
《数学的实践与认识》
CSCD
北大核心
2009年第16期182-191,共10页
Mathematics in Practice and Theory
关键词
冷负荷
数据拟合
插值
模糊控制
基准冷负荷
cooling load
data fitting
interpolation
fuzzy control
reference cooling load